An Empirical Study on Anomaly Detection Algorithms for Extremely Imbalanced Datasets

AuthID
P-00W-WA7
5
Author(s)
Fontes, G
·
Matos, LM
·
Matta, A
·
Pilastri, A
·
4
Editor(es)
Maglogiannis,I;Iliadis,L;Macintyre,J;Cortez,P
Tipo de Documento
Proceedings Paper
Year published
2022
Publicado
in ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, AIAI 2022, PART I in IFIP Advances in Information and Communication Technology, ISSN: 1868-4238
Volume: 646, Páginas: 85-95 (11)
Conference
18Th International Conference on Artificial Intelligence Applications and Innovations (Aiai), Date: JUN 17-20, 2022, Location: Hersonissos, GREECE
Indexing
Publication Identifiers
SCOPUS: 2-s2.0-85133284163
Wos: WOS:000928714700007
Source Identifiers
ISSN: 1868-4238
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